A Framework for Use of Imprecise Categorization in Developing Intelligent Systems

In this paper, we develop characterizations of the properties of categories. We introduce an approach to representing imprecise hierarchies based on the idea of fragmentation. In the case of fuzzy categories, measures of how well fuzzy categorization satisfies the concept of a partitioning for such categories are developed. Finally, issues that are involved in the formulation of fuzzy categorization of a domain using approaches based on the use of prototypes are considered.